6.808: Mobile and Sensor Computing Lecture 13: Agriculture IoT - - PowerPoint PPT Presentation

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6.808: Mobile and Sensor Computing Lecture 13: Agriculture IoT - - PowerPoint PPT Presentation

Mar 11, 2024 49 likes •161 views

6.808: Mobile and Sensor Computing Lecture 13: Agriculture IoT (Complementary to online video) Logistics & Norm Setting What to do now? Turn on your video (if your connection allows it) Mute your mic (unless you are the active

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SLIDE 1

Lecture 13: Agriculture IoT

6.808: Mobile and Sensor Computing

(Complementary to online video)

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SLIDE 2

Logistics & Norm Setting

  • What to do now?
  • Turn on your video (if your connection allows it)
  • Mute your mic (unless you are the active speaker)
  • Open the “Participant” List
  • Make sure your full name is shown
  • If you have a question:
  • Use the chat feature to either write the question or to indicate your interest

in asking the question

  • James will be monitoring the chat
  • unmute -> ask question -> mute again
  • Same procedure for answering questions
  • We will post this online
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SLIDE 3

Purpose of this live session

  • An interactive review of the online

video lecture

  • Q & A

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SLIDE 4

Solution: Data-Driven Agriculture

Ag researchers have shown that it:

  • Reduces waste
  • Increases productivity
  • Ensures sustainability

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Traditional vs Data-driven approach

If the solution is known, why hasn’t it been widely adopted?

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SLIDE 5

But…

According to USDA, high cost of manual data collection prevents farmers from using data-driven agriculture

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SLIDE 6

IoT System for Agriculture

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Problems with this architecture?

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SLIDE 7

Problems?

  • Internet Connectivity
  • Limited Power
  • Limited resources (efficiency)

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Solutions?

  • Whitespace connectivity
  • Duty-cycling
  • Drone for spatial and temporal smoothing
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SLIDE 8

Idea: Weather is Predictable

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SLIDE 9

Solution: Weather is predictable

5 10 15 20 1.3 2.5 3.8 5

Optimal for minimum latency

FarmBeats can use weather forecasts to duty cycle the base station, with minimum latency

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How would you design the sensors?

  • Low-power — backscatter
  • problems: intermittent, or base station runs out of power
  • Limited range
  • Semi-passive?
  • Power decays with 1/d^2 (Sphere) => waste less energy by multiple

harvesters

  • Can even harness power from whitespace emissions

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Announcements

  • Lab4 due Wednesday (April 8)
  • Projects
  • Met with all teams & scoped projects
  • (Almost) all equipment has already been shipped domestically
  • Midterm:
  • Two practice exams & solutions posted (from 2018 & 2019)
  • Imperfect overlap with this year’s material
  • Use Piazza & OH to ask questions
  • More midterm instructions coming this week

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